Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
                  first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 33, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1380, in _iter_from_urlpath
                  yield from cls._iter_tar(f)
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1331, in _iter_tar
                  stream = tarfile.open(fileobj=f, mode="r|*")
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/tarfile.py", line 1886, in open
                  t = cls(name, filemode, stream, **kwargs)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/tarfile.py", line 1762, in __init__
                  self.firstmember = self.next()
                                     ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/tarfile.py", line 2750, in next
                  raise ReadError(str(e)) from None
              tarfile.ReadError: invalid header
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

VynFi Group Audit — Enterprise 2000-entity (v5.33.2)

End-to-end synthetic group-audit bundle: 2 000 entities across North America, EMEA, and APAC, organised under a 4-level ownership graph, with full consolidated FS, intercompany eliminations, NCI rollforward, currency translation, and per-entity audit workpapers.

Refreshed on engine v5.33.2 (commit 7376c8fc) — picks up the three v5.33 fixes that the prior v5.10 dataset didn't have:

  • #162: per-entity TB writer is now framework-aware (per-line account_type and category resolved via FrameworkAccounts::classify_account_type for the entity's framework).
  • #164: consolidated FS aggregator inherits the same framework-aware classification via the new AggregatedAccount.account_type field.
  • #163: balance/opening_balances.json now persists on every shard.

Plus every SOTA generator that landed between v5.10 and v5.33.2 (SOTA-1…12 + 8.1/11.1, all the v5.30 Tier-A/B work, v5.31 streaming aggregate, v5.32 calibration scaffolding).

All data is synthetic. No client names, no real corpus content.

Ownership structure

ACME_HQ (US, flagship)
├── ACME_EUR (DE, flagship, 100%)
│   ├── 25× ACME_EU_SIG (EU, 55-100%)
│   └── 350× ACME_EU (EU, 55-100%)
├── ACME_UK (GB, significant, 100%)
├── ACME_JP (JP, significant, 85%)
├── 50× ACME_NA_SIG (NA, 65-100%)
├── 700× ACME_NA (NA, 55-100%)
├── 200× ACME_AS (APAC, 51-100%)
├── 471× ACME_SMALL (BR/AR/ZA/AU, 50-100%)
└── 200× ACME_JV (BR/AR/ZA, 20-49%, equity-method)

= 1 + 3 + 25 + 350 + 50 + 700 + 200 + 471 + 200 = 2000 entities.

Period: 2024 Q1 (Jan-Mar), quarterly close. Presentation currency USD.

What's in the box

enterprise_2000_v533_2.tar.zst (1.24 GB, ~20 GB extracted) — full group archive:

enterprise_2000_v533_2/
├── manifest.json                       # group manifest with all 2000 entities
├── shard_summary.json                  # per-shard entity counts + IC JE counts
├── entities/<2000 dirs>/               # per-entity JEs, TBs, openings, FS, etc.
├── consolidated/                       # group-level
│   ├── consolidated_financial_statements.json
│   ├── consolidation_schedule.json
│   ├── nci_rollforward.json            # 200 equity-method + minority interests
│   ├── cta_rollforward.json            # FX translation worksheet
│   ├── equity_method_investments.json  # 200 equity-method entities
│   ├── translation_worksheet.json
│   ├── notes_to_consolidated_fs.json
│   ├── je_network.csv                  # 1,589,934 consolidated JE-line edges
│   └── je_network.parquet
└── ic_eliminations/
    └── ic_matching_coverage.json

Key statistics

  • 2 000 entities, 2 154 intercompany relationships, 4 shards
  • 1 800 entities summed (Parent + Full method); 200 deferred for equity-method overlay
  • 9 118 intercompany journal entries
  • 115 309 trial-balance lines aggregated, 604 unique GL accounts
  • 1 589 934 consolidated JE-line edges in je_network.parquet
  • 2 000 / 2 000 balance/opening_balances.json files persisted (was 0 / 2 000 in the v5.10 dataset — closes #163)
  • Consolidated A vs L+E+NCI gap: 3.09 % (single-period; equity-method deferred entities contribute by design)
  • IC matching coverage: 0.9159 (gap from IC relationships involving the 200 equity-method-deferred entities, expected by design)
  • Engine: v5.33.2 commit 7376c8fc
  • Generation walltime: ~1 min 44 s on a 30-core / 222 GB Xeon 8358 (down from the v5.10 multi-hour run via the v5.31 streaming- aggregate refactor)

Engine configuration

The full config is committed at docs/baselines/2026-05-28-v5.33.2-enterprise-2000/enterprise_2000.yaml in the engine repo. Pillar Two, CbC report, transfer-pricing master file, KAMs, group opinion all enabled.

Caveats

  • Single period. This is one quarter (Q1 2024). For a multi-period chain with prior-year carry-forward see the companion VynFi/vynfi-group-audit-3yr-medium dataset (3 entities × 3 years).
  • NCI in nci_rollforward.json, not BS line items. The v5.33.1 classifier's 3500-3599 NCI carve-out is a US-style convention; this group uses generated codes that don't hit that range. The controlling-vs-minority split lives in the rollforward file.
  • 3.09 % consolidated BS residual comes from the 200 equity-method entities being held out of the pre-elim sum but still contributing to the equity-method-investment line on the parent's BS. The NCI / equity-method overlay applied by apply_nci_and_equity_method partially closes this but not all the way to 0. The per-entity TBs are individually balanced (is_balanced: true).
  • Sign convention between closing_balance (debit-normal in TBs) and opening_balances::balances (natural-side) — same as documented on the 3-year medium dataset card.

How to use

pip install huggingface_hub
hf download VynFi/vynfi-group-audit-enterprise-2000 --repo-type dataset --local-dir ./e2k
tar -I zstd -xf ./e2k/enterprise_2000_v533_2.tar.zst
import pandas as pd, pyarrow.parquet as pq
edges = pq.read_table("enterprise_2000_v533_2/consolidated/je_network.parquet").to_pandas()
print(f"{len(edges):,} edges, {edges.is_fraud.mean():.4%} fraud-flagged")

Companion datasets

License

Apache-2.0.

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